Natalie Karavarsamis, PhD
07 February, 2020
Dr Natalie Karavarsamis
@nataliekarav n.karavarsamis@latrobe.edu.au nkarav@unimelb.edu.au
Data Scientist, Researcher, Lecturer
Department of Mathematics and Statistics
La Trobe University
Melbourne, Victoria, Australia
Honorary Fellow
School of Mathematics and Statistics
University of Melbourne
Victoria, Australia
Technical sub-editor at the Australian and New Zealand Journal of Statistics and reviewer to several journals.
Local Organising Committee Member ISEC2020 http://www.isec2020.org
Announcements
International Statistical Ecology Conference, ISEC2020 , UNSW, Sydney, Australia June 22–26, 2020 http://www.isec2020.org
Abstracts Now Open due December 2nd 2019 (5pm GMT)Workshop for Research School on Statistics and Data Science 2019 (RSSDS2019), La Trobe, Melbourne, Australia, July 24–26, 2019. Topics include Statistics, Data Science and allied fields such as AI and Machine Learning are invited to register. Workshop proceedings published in Springer Communications in Computer and Information Science (CCIS). Webpage and poster.
My events, Seminars, Workshops, Conference presentations
2019
November, Invited Speaker, Department of Neuroscience and Boston Children’s Hospital, Harvard University, USA
November, Invited Speaker, INRIA Statistics Seminar Series, Grenoble, France
October 18, Invited Speaker, Monash Seminar Series, Monash University, Melbourne, Australia
October 3, Invited Speaker, RMIT Data Analystics Seminar Series (slides here)
October 7, Invited Speaker, Subject Selection Fair 2019, La Trobe University, Melbourne, Australia
August 29, Women in Maths Day, University of Melbourne, Melbourne, Australia
July 24–26, Invited Speaker, Workshop for Research School on Statistics and Data Science 2019 - RSSDS2019, La Trobe University, Melbourne, Australia (webpage and (poster) (slides here)
June 25-27, Conference Presentation, EcoSta2019 Conference. National Chung Hsing University, Taiwan (conference webpage)
June 19, Invited Speaker, AMSI Choose Maths Day, La Trobe University, Melbourne, Australia
June 5, Speaker Joint Seminar, Special seminar joint La Trobe University & Harvard University, La Trobe University, Melbourne, Australia
May 15, Q&A panel discussion speaker for celebrations for the inaugural International Women in Mathematics Day, in honour of the birthday of Maryam Mirzakhani on 12 May, the first female Fields Medalist (poster)
2018 and earlier
July 4-6 2018, Conference Presentation, ISEC 2018, St Andrews University, Scotland (slides here)
July 24 2018, Invited Speaker, La Trobe – Kyushu joint seminar series, La Trobe University, Melbourne, Australia and Kyushu University, Japan (via zoom) (slides here)
Bio
I am academic researcher, and lecturer in Statistics at La Trobe University, and Honorary Fellow at School of Mathematics and Statistics, University of Melbourne. I obtained my PhD in Statistics from the Department of Mathematics and Statistics, University of Melbourne. In addition, I have professional statistician and industry consulting experience at several institutions, including, Cancer Council of Victoria, Department of Primary Industries, School of Medicine (University of Crete, Greece). Academic posts include Lecturer at School of Mathematics and Statistics (University of Melbourne), Postdoctoral Research Fellow with School of Biosciences (University of Melbourne) and with School of Mathematical Sciences (RMIT), and Research Fellow at Department of Food and Land Sciences (prior to PhD) (University of Melbourne). Current roles include Technical Sub-Editor to the Australian and New Zealand Journal of Statistics, reviewer for international peer-reviewed journals and LOC for ISEC2020 (see link above).
Research collaborations include Harvard University (USA), University of Caen (France), La Trobe University (Australia) and University of Melbourne (Australia). Research interests include ecological statistics, analysis and modelling of large biological data and medical statistics. Modern statistical approaches for occupancy using partial, conditional and composite likelihoods, and with GAMs. R software is available for selected methods. Analysis and development of models for large time-series biological data, functional analysis, HMMs and models for cylindrical distributions. With applications in neuroscience in collaboration with Harvard University.
Supervision
Available for Honours, Masters and PhD.
* PhD Statistics - Co-supervisor (2018–)
* AMSI Summer Scholars - Supervisor, two scholars (2019)
Grants & Awards (selected)
2018 Australian-French Association for Research and Innovation (AFRAN).
2016– Early Researcher Establishment Grant, School of Mathematics and Statistics, University of Melbourne.
Press & Gallery
2018 AMSI Choose Maths Day, La Trobe